Torsten A. Enßlin

According to our database, Torsten A. Enßlin authored at least 37 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference.

Gordian Edenhofer, Philipp Frank, Jakob Roth, Reimar H. Leike, Massin Guerdi, Lukas I. Scheel-Platz, Matteo Guardiani, Vincent Eberle, Margret Westerkamp, Torsten A. Enßlin

J. Open Source Softw., 2024

Bayesian Multi-wavelength Imaging of the LMC SN1987A with SRG/eROSITA.

Vincent Eberle, Matteo Guardiani, Margret Westerkamp, Philipp Frank, Michael J. Freyberg, Mara Salvato, Torsten A. Enßlin

CoRR, 2024

Towards a Field Based Bayesian Evidence Inference from Nested Sampling Data.

Margret Westerkamp, Jakob Roth, Philipp Frank, Will Handley, Torsten A. Enßlin

CoRR, 2024

2023

Butterfly Transforms for Efficient Representation of Spatially Variant Point Spread Functions in Bayesian Imaging.

Vincent Eberle, Philipp Frank, Julia Stadler, Silvan Streit, Torsten A. Enßlin

Entropy, April, 2023

Attention to Entropic Communication.

Torsten A. Enßlin, Carolin Weidinger, Philipp Frank

CoRR, 2023

2022

Information and Agreement in the Reputation Game Simulation.

Viktoria Kainz, Céline Boehm, Sonja Utz, Torsten A. Enßlin

Entropy, December, 2022

Information Field Theory and Artificial Intelligence.

Torsten A. Enßlin

Entropy, 2022

Sparse Kernel Gaussian Processes through Iterative Charted Refinement (ICR).

Gordian Edenhofer, Reimar H. Leike, Philipp Frank, Torsten A. Enßlin

CoRR, 2022

2021

Probabilistic Autoencoder Using Fisher Information.

Johannes Zacherl, Philipp Frank, Torsten A. Enßlin

Entropy, 2021

Dynamical Field Inference and Supersymmetry.

Margret Westerkamp, Igor V. Ovchinnikov, Philipp Frank, Torsten A. Enßlin

Entropy, 2021

Bayesian Reasoning with Trained Neural Networks.

Jakob Knollmüller, Torsten A. Enßlin

Entropy, 2021

Geometric Variational Inference.

Philipp Frank, Reimar H. Leike, Torsten A. Enßlin

Entropy, 2021

Information Field Theory as Artificial Intelligence.

Torsten A. Enßlin

CoRR, 2021

2020

hammurabi X: a C++ package for simulating Galactic emissions.

Jiaxin Wang, Tess Jaffe, Torsten A. Ensslin, Joe Taylor

J. Open Source Softw., 2020

A Bayesian Model for Bivariate Causal Inference.

Maximilian Kurthen, Torsten A. Enßlin

Entropy, 2020

Probabilistic simulation of partial differential equations.

Philipp Frank, Torsten A. Enßlin

CoRR, 2020

Bayesian Reasoning with Deep-Learned Knowledge.

Jakob Knollmüller, Torsten A. Enßlin

CoRR, 2020

2019

Metric Gaussian Variational Inference.

Jakob Knollmüller, Torsten A. Enßlin

CoRR, 2019

2018

Bayesian Causal Inference.

Maximilian Kurthen, Torsten A. Enßlin

CoRR, 2018

Encoding prior knowledge in the structure of the likelihood.

Jakob Knollmüller, Torsten A. Enßlin

CoRR, 2018

Information theory for fields.

Torsten A. Enßlin

CoRR, 2018

Radio Imaging with Information Field Theory.

Philipp Arras, Jakob Knollmüller, Henrik Junklewitz, Torsten A. Enßlin

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Optimal Belief Approximation.

Reimar H. Leike, Torsten A. Enßlin

Entropy, 2017

2016

d2o: a distributed data object for parallel high-performance computing in Python.

Theo Steininger, Maksim Greiner, Frederik Beaujean, Torsten A. Enßlin

J. Big Data, 2016

Correlated signal inference by free energy exploration.

Torsten A. Enßlin, Jakob Knollmüller

CoRR, 2016

2014

Signal inference with unknown response: calibration uncertainty renormalized estimator.

Sebastian Dorn, Torsten A. Enßlin, Maksim Greiner, Marco Selig, Vanessa Böhm

CoRR, 2014

2013

NIFTY - Numerical Information Field Theory - a versatile Python library for signal inference

Marco Selig, Michael R. Bell, Henrik Junklewitz, Niels Oppermann, Martin Reinecke, Maksim Greiner, Carlos Pachajoa, Torsten A. Enßlin

CoRR, 2013

Information field theory

Torsten A. Enßlin

CoRR, 2013

D3PO - Denoising, Deconvolving, and Decomposing Photon Observations.

Marco Selig, Torsten A. Enßlin

CoRR, 2013

Art and theory of self-calibration.

Torsten A. Enßlin, Henrik Junklewitz, Lars Winderling, Marco Selig

CoRR, 2013

2012

Information field dynamics for simulation scheme construction

Torsten A. Enßlin

CoRR, 2012

2010

AstroGrid-D: Grid Technology for Astronomical Science

Harry Enke, Matthias Steinmetz, Hans-Martin Adorf, Alexander Beck-Ratzka, Frank Breitling, Thomas Bruesemeister, Arthur Carlson, Torsten A. Ensslin, Mikael Högqvist, Iliya Nickelt, Thomas Radke, Alexander Reinefeld, Angelika Reiser, Tobias Scholl, Rainer Spurzem, Juergen Steinacker, Wolfgang Voges, Joachim Wambsganss, Steve White

CoRR, 2010

Inference with minimal Gibbs free energy in information field theory

Torsten A. Ensslin, Cornelius Weig

CoRR, 2010

Reconstruction of signals with unknown spectra in information field theory with parameter uncertainty

Torsten A. Ensslin, Mona Frommert

CoRR, 2010

2009

Workflows für das frühe Universum - Die ProC-Workflowengine.

Wolfgang Hovest, Jörg Knoche, Torsten A. Enßlin

Inform. Spektrum, 2009

2008

Information field theory for cosmological perturbation reconstruction and non-linear signal analysis

Torsten A. Ensslin, Mona Frommert, Francisco S. Kitaura

CoRR, 2008

2005

Enabling Grid Technologies for Simulating the Planck LFI Simulated Mission.

Giuliano Taffoni, Davide Maino, Claudio Vuerli, Giuliano Castelli, Riccardo Smareglia, Andrea Zacchei, Torsten A. Ensslin, Fabio Pasian

Proceedings of the Seventh International Workshop on Computer Architectures for Machine Perception (CAMP 2005), 2005